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dc.contributor.advisorChris Caplice.en_US
dc.contributor.authorChou, Chih-Fen, 1976-en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2005-11-03T16:47:51Z
dc.date.available2005-11-03T16:47:51Z
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/29520
dc.descriptionThesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2004.en_US
dc.description"June 2004."en_US
dc.descriptionIncludes bibliographical references (leaves 87-88).en_US
dc.description.abstractWhile companies are looking for a single solution or a set of metrics that they can apply to measure their supply chain performance, it is clear that such a single solution does not exist. An effective supply chain performance measurement system has to align with a company's own supply chain processes. This thesis, based on the research of several established performance measurement models including the Balanced Scorecard and the SCOR Model, provides a framework for companies to build their supply chain performance measurement systems in-house. This thesis recommends a roadmap consisting of eight steps for companies to follow in the design and implementation phases of establishing a supply chain measurement system. The result is a set of 21 performance metrics is proposed that can be used by a company in the grocery retail industry to measure the efficiency of its supply chain. This metric set is well balanced because it encompasses six different criteria: comprehensive, causally oriented, vertically integrated, horizontally integrated, internally comparable, and useful. In conclusion, it is critical for companies from different industries to custom-tailor their own set of performance metrics, based on a careful evaluation of their individual business processes and supply chain performance objectives, that will allow management to do a better job utilizing existing capital resources and planning for strategic change and business development.en_US
dc.description.statementofresponsibilityby Chih-Fen (Amy) Chou.en_US
dc.format.extent88 leavesen_US
dc.format.extent4793089 bytes
dc.format.extent4802922 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectEngineering Systems Division.en_US
dc.titleDevelopment of a comprehensive supply chain performance measurement system : a case study in the grocery retail industryen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc57308003en_US


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